CN102168809A - Method and system for detecting leakage of parking apron aviation gasoline pipe network based on pressure and temperature analysis - Google Patents
Method and system for detecting leakage of parking apron aviation gasoline pipe network based on pressure and temperature analysis Download PDFInfo
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Abstract
The invention relates to a system for detecting the leakage of a parking apron aviation gasoline pipe network based on pressure and temperature analysis, which is characterized by comprising a temperature sensor, a pressure sensor, a leakage detector and an upper computer, wherein the temperature sensor is used for measuring the environmental temperature of pipelines and used for revising the influence of the environmental temperature on the pressure of the pipelines and transmitting temperature value signals to the leakage detector in a wire or wireless mode; the pressure sensor is used for detecting the pressure change condition in the pipelines in real time, converting pressure signals and the temperature signals into electric signals and transmitting the electric signals to the leakage detector in a wire or wireless mode; the pressure sensor is installed on a delivery pipeline, is in contact with a sound wave generating source and is used for sensing sound pressure of sound waves which form compression and sparseness alternate change when being spread in the air, thereby obtaining the pressure signals with higher accuracy; the the system for detecting the leakage of the parking apron pipe network operates on the leakage detector; and the upper computer is the monitoring terminal of the system. Furthermore, the invention also discloses a corresponding method for detecting the leakage of the parking apron aviation gasoline pipe network based on the pressure and temperature analysis.
Description
Technical field
The present invention relates to machine level ground, airdrome pipeline leakage, leak the detection technology field, relate in particular to a kind of level ground, airport Aviation Fuel pipeline network leak detecting method and system that analyzes based on pressure and temp.
Background technique
The Airport Refueling engineering is the important foundation facility of Aerodrome Operations service.The Airport Refueling engineering comprises key components such as long distance pipeline, transfer oil depot, airport use oil depot and machine level ground oiling pipe network, and most airports all adopt machine level ground pipe network to carry Aviation Fuel.
At present, machine level ground Aviation Fuel oiling pipe network is the fuel feeding pipe network from airfield POL storage to each seat in the plane, machine level ground.Owing to reasons such as the natural aging that moves corrosion and wearing and tearing, equipment for a long time, geological disaster and artificial damages, machine level ground Aviation Fuel pipeline network leak fault happens occasionally.Therefore, necessary oil transportation network in machine level ground is monitored, with certain pipeline section of judging machine level ground flow circuit whether seepage, leakage are taken place, to stop potential safety hazard.
Summary of the invention
For this reason, the present invention proposes a kind of level ground, airport Aviation Fuel pipeline network leak detecting method and system that analyzes based on pressure and temp, its basic functional principle is: for the pipeline with pressure of closed at both ends, if pipeline leaks, pipeline pressure will reduce.By the variation of detected pressures, reach taking all factors into consideration of ambient temperature factor, thereby determine whether pipeline leaks.Adopt technology provided by the invention, by monitoring with analyze to continue 20～50 minutes pressure and temperature data, it is 0.1 millimeter minute leakage that system can detect the aperture.
An aspect of of the present present invention is that a kind of level ground, airport Aviation Fuel pipeline network leak detection system of analyzing based on pressure and temp is characterized in that comprising: temperature transducer, pressure transducer, leak detector, and upper-position unit; Wherein, temperature transducer is used for the temperature of measurement line place environment, being used to the revising influence of ambient temperature to pipeline pressure, and sends this temperature value signal to leak detector by wired or wireless mode; Pressure transducer, be used for detecting in real time ducted pressure changing, pressure signal and temperature signal are converted to electrical signal, send leak detector to by wired or wireless mode, pressure transducer, it is installed on the conveyance conduit, contacts with sound source, be used for the sensing sound wave forms compression and sparse alternate when air is propagated acoustic pressure, obtain the higher pressure signal of precision; Leak detector, operation machine level ground pipeline network leak detection system on it; Upper-position unit, it is the monitor terminal of system;
Wherein, the handling process that runs on the system of leaking hunting comprises following treatment step: (1) is finished the signal conversion that will receive by sensor and front end circuit and is become electrical signal, amplifies processing; (2), finish the AD conversion, and carry out the data necessary robustness and handle by audio data AD conversion and data pretreatment; (3) eliminate interference and background noise; (4) handle signal afterwards,, carry out pressure signal feature extraction and identification, finish the identification of seepage or incident of leakage by pressure data calibration and pressure diagram signature search engine; Wherein, the pipeline pressure data calibration need to be considered the influence to pipeline pressure of ambient temperature, caliber, pipeline wall thickness, thereby is reduced the influence that extraneous objective factor is analyzed pressure data.
Be that on the other hand a kind of level ground, airport Aviation Fuel pipeline network leak detecting method of analyzing based on pressure and temp is characterized in that comprising with temperature transducer, pressure transducer, the detection system that leak detector and upper-position unit constitute; Wherein, temperature transducer is used for the temperature of measurement line place environment, being used to the revising influence of ambient temperature to pipeline pressure, and sends this temperature value signal to leak detector by wired or wireless mode; Pressure transducer, be used for detecting in real time ducted pressure changing, pressure signal and temperature signal are converted to electrical signal, send leak detector to by wired or wireless mode, pressure transducer, it is installed on the conveyance conduit, contacts with sound source, be used for the sensing sound wave forms compression and sparse alternate when air is propagated acoustic pressure, obtain the higher pressure signal of precision; Leak detector, operation machine level ground pipeline network leak detection system on it; Upper-position unit, it is the monitor terminal of system;
Wherein, the handling process that runs on the system of leaking hunting comprises following treatment step: (1) is finished the signal conversion that will receive by sensor and front end circuit and is become electrical signal, amplifies processing; (2), finish the AD conversion, and carry out the data necessary robustness and handle by audio data AD conversion and data pretreatment; (3) eliminate interference and background noise; (4) handle signal afterwards,, carry out pressure signal feature extraction and identification, finish the identification of seepage or incident of leakage by pressure data calibration and pressure diagram signature search engine; Wherein, the pipeline pressure data calibration need to be considered the influence to pipeline pressure of ambient temperature, caliber, pipeline wall thickness, thereby is reduced the influence that extraneous objective factor is analyzed pressure data.
Description of drawings
Below in conjunction with drawings and embodiments the present invention is described in further detail.
Fig. 1 independently monitors and data capture (SCADA) the system machine level ground pipe network overall system block diagram that leaks hunting;
Fig. 2 airport level ground short distance closed conduct system core handling process of leaking hunting;
Fig. 3 pressure diagram and pressure logarithmic curve (schematic representation);
The associating vector leaching process of Fig. 4 logarithm pressure diagram;
Fig. 5 makes up schematic representation based on machine level ground, airdrome seepage, the leakage search engine of neuron network and pressure diagram feature.
Embodiment
As shown in Figure 1, it is the general structure block diagram based on the machine level ground pipeline network leak detection system of pressure monitoring method, and this independent supervisory control and data acqui sition system (SCADAS) machine level ground pipe network system of leaking hunting comprises temperature transducer, pressure transducer, leak detector, and upper-position unit.Wherein, temperature transducer is used for the temperature of measurement line place environment, being used to the revising influence of ambient temperature to pipeline pressure, and sends this temperature value signal to leak detector by wired or wireless mode; Pressure transducer, be used for detecting in real time ducted pressure changing, pressure signal and temperature signal are converted to electrical signal, send leak detector to by wired or wireless mode, it is installed on pressure transducer (being also referred to as pressure transmitter sometimes) on the conveyance conduit, contact with sound source, be used for the sensing sound wave forms compression and sparse alternate when air is propagated acoustic pressure, obtain the higher pressure signal of precision.Usually, carried acoustic signals in the pressure signal, but because pressure signal is a bigger force value, and the pressure surge that sound wave causes is a very little force value.For example, its value of a standard atmospheric pressure (air pressure that refers to sea level under standard atmosphere condition) is 101325 Pascals in air, is about 10
5Pascal, and the air pressure variations that the minimum sound that people's ear can be heard causes is about 2*10
-5Pascal); Leak detector, leak detector are the corn module of whole system, operation machine level ground pipeline network leak detection system on it; Upper-position unit (also claiming monitor terminal), it is the monitor terminal of system, operator and caretaker can realize that systems management and parameter are provided with etc. operation and management are when pipe leakage (or leakage) taking place, in time send reports to the police and start emergency processing.
About temperature transducer, pressure transducer, leak detector, and the information between the upper-position unit connects, transmission means, for art technology, intuitivism apprehension with reference to the accompanying drawings just can be learnt, belongs to the common practise of related domain, just repeats no more here.
As shown in Figure 2, it is to run on level ground, airport short distance closed conduct in the pipeline network leak detection system of the operation machine level ground system core handling process of leaking hunting, it comprises following treatment step: (1) is finished the signal conversion that will receive by sensor and front end circuit and is become electrical signal, passes to function block 2 after the amplification; (2) by audio data AD conversion and data pretreatment, finish the AD conversion, and carry out the work of data necessary robustness processing, such as adaptive-filtering, go dry etc.; (3) noise cancellation module eliminate to be disturbed and background noise, the acoustic disturbance that produces as normal switch valve etc.; (4) signal after handling by pressure data calibration and pressure diagram signature search engine, carries out pressure signal feature extraction and identification, thus the seepage of finishing or incident of leakage identification, and determine roughly time of origin of incident, distance etc.Wherein, the pipeline pressure data calibration need to be considered the influence to pipeline pressure of ambient temperature, caliber, pipeline wall thickness, thereby is reduced the influence that extraneous objective factor is analyzed pressure data.
Below, extraction from the pipeline pressure data-signal, the pipeline pressure data of gathering are carried out temperature correction, discern processing feature based on the feature after pressure data feature extraction after the calibration and the extraction by pressure diagram signature search engine, describe the specific implementation method of its information processing in detail.
The extraction of pipeline pressure data-signal
Because when the short distance closed pipe system was leaked, the variation in pressure of parameter was very small.The minor variations of this pressure is easy to be submerged in the background noise.Therefore the background noise filtering generally must be used the Wiener filtering method, can reduce the influence of background noise to a great extent.
Definition pipe signal model is as follows:
y(n)＝s(n)+b(n)
Wherein, y (n) is the signal that data acquistion system collects, and the signal that collects can be pressure signal or temperature signal, and usually, the signal that collects comprises target signal and various noise and interference; S (n) is a target signal to be detected in the pipeline; B (n) is an ambient noise signal; Can obtain target signal to be detected in the pipeline by following method:
Wherein
The Fourier transformation of the goal pressure signal that estimates; Y (k): the Fourier transformation of the noisy pressure signal that collects; B (k): the Fourier transformation of ambient noise signal.
At last by
Through inversefouriertransform, just can obtain the target signal s (n) after the de-noising.
The temperature correction of pipeline pressure data
In most cases because the effect of expanding with heat and contract with cold, the short distance closed conduct in the time of high temperature, pressure height the time obviously than normal temperature.This pipeline pressure because of temperature effect changes, and has surpassed the variation in pressure of pipeline when leaking probably.To the pipeline pressure data of having gathered, must carry out temperature correction.More broadly, base measuring pressure P ' can not write down as array function:
P '=f (temperature, caliber, wall thickness etc.)
From present prototype system, P ' and temperature influence maximum, the influence of other factors is smaller.So system of the present invention gets:
P′＝a*T
2+b*T+c
As the temperature fair curve, T is an ambient temperature.For specific pipeline, behind the actual measurement multi-group data, can determine the coefficient a in the following formula, b, c.Thereby determine the Function Mapping relation between the pressure and temp, effectively proofread and correct the pressure data under the varying environment temperature.
Pressure piping pressure data characteristic vector extracting method
Because actual pressure (pressure is calibrated) follows a kind of nonlinear mode to decay, for pressure piping, in the relatively short Δ T time, the pressure sequence Pn|n=1 ..., n} available functions P=α .t
β+ ε, α, β, ε are fitting parameter.Because of the rather inconvenience when the problem analysis of above-mentioned exponential form, thus the pressure data of Δ T time period of being obtained is carried out the log-domain conversion, that is:
Log (P)=a log (t)+b, a wherein, b is the system's fitting parameter based on the pressure logarithmic curve
After handling like this, curvilinear motion is mild relatively, the also more or less freely discontinuity of seeing pressure drop, as shown in Figure 3, and such log-domain pressure conversion curve, its feature is more obvious, more helps follow-up feature extraction and trains, discerns.
In addition, in order to save computing time, to reduce memory space etc.,, also can not need pressure data is done the logarithm computing according to the actual design needs.
Pressure piping pressure logarithm data characteristics vector formation method
Because most pressure piping supervisory systems requires high reliability, too extensive if be criterion with the pressure logarithmic decrement simply just, can't satisfy the practical application needs at all, as easy as rolling off a log causing failed to judge, judged by accident.Given this, data are through after the above-mentioned processing, must be through process of refinement more.For characterizing the characteristics of logarithm pressure diagram, improve system reliability, the present invention proposes first, with the time period Δ T of described logarithm pressure diagram, is divided into the littler time lag (Δ t is provided with M sampling point), with Q
iBe the representative point of this M sampling point, as shown in Figure 4.
For reducing the influence of System noise, Q
iProvide with median filter with this M sampling point in the Δ t time lag:
Q
iAfter=M the sampling point ordering, get intermediate value,
Get continuous L the Δ t time lag, obtain L pressure logarithm value { Q by above-mentioned steps
i| i=1 ..., L} joins together this L numerical value, constitutes a pressure logarithm associating vector Π=(Q
1Q
2... Q
L)
TCharacteristic vector as this logarithm pressure diagram.
Construction method based on the pressure diagram signature search engine of neuron network
Neural network model is widely used in the System Discrimination field with its powerful parallel data Processing capacity and learning ability, can describe complicated signal model effectively, has obtained using widely in pallern identification and coupling field.The present invention is with pressure logarithm associating vector Π=(Q
1Q
2... Q
L)
T, or only working pressure is united vector, is the neuron network input end, and as shown in Figure 5, it is machine level ground, airdrome seepage, leakage search engine structure structural drawing based on neuron network and pressure diagram feature, can obtain from Fig. 5, and network is output as
w
iBe weight factor, φ
i(Q
1Q
2... Q
L) be the neuronal kernel function, native system neural network model storehouse is by parameter set { w
i, φ
i(x) } determine.By the pressure diagram feature of extracting, neuron network is carried out the learning training of scene or off-line, can correctly discern the seepage or the leak case of pipeline.Adopt technology provided by the invention, by monitoring with analyze to continue 20～50 minutes pressure and temperature data, it is 0.1 millimeter minute leakage that system can detect the aperture.
The present invention obtains the advantage of following several respects at least:
System distinguishes leakage, leakage signal and undesired signal effectively.
System has improved system sensitivity, has reduced rate of false alarm, thereby realizes the on-line monitoring of seepage, leakage, greatly increases work efficiency.
System is easy for installation, is easy to constructing operation, and good reliability is highly sensitive, and detection speed is fast, can carry out Leak testtion to machine level ground pipeline every day, provides strong technical support for level ground, airport pipeline leaks hunting.
Claims (8)
1. level ground, an airport Aviation Fuel pipeline network leak detection system of analyzing based on pressure and temp is characterized in that comprising: temperature transducer, pressure transducer, leak detector, and upper-position unit; Wherein, temperature transducer is used for the temperature of measurement line place environment, being used to the revising influence of ambient temperature to pipeline pressure, and sends this temperature value signal to leak detector by wired or wireless mode; Pressure transducer, be used for detecting in real time ducted pressure changing, pressure signal and temperature signal are converted to electrical signal, send leak detector to by wired or wireless mode, pressure transducer, it is installed on the conveyance conduit, contacts with sound source, be used for the sensing sound wave forms compression and sparse alternate when air is propagated acoustic pressure, obtain the higher pressure signal of precision; Leak detector, operation machine level ground pipeline network leak detection system on it; Upper-position unit, it is the monitor terminal of system;
Wherein, the handling process that runs on the system of leaking hunting comprises following treatment step: (1) is finished the signal conversion that will receive by sensor and front end circuit and is become electrical signal, amplifies processing; (2), finish the AD conversion, and carry out the data necessary robustness and handle by audio data AD conversion and data pretreatment; (3) eliminate interference and background noise; (4) handle signal afterwards,, carry out pressure signal feature extraction and identification, finish the identification of seepage or incident of leakage by pressure data calibration and pressure diagram signature search engine; Wherein, the pipeline pressure data calibration need to be considered the influence to pipeline pressure of ambient temperature, caliber, pipeline wall thickness, thereby is reduced the influence that extraneous objective factor is analyzed pressure data.
2. system according to claim 1 is characterized in that: to the pipeline pressure data of having gathered, carry out temperature correction, base measuring pressure P ' can not write down as array function:
P '=f (temperature, caliber, wall thickness etc.)
P ' and temperature influence maximum, the influence of other factors is smaller, gets:
P′＝a*T
2+b*T+c
As the temperature fair curve, T is an ambient temperature.
3. system according to claim 1 and 2 is characterized in that: for pressure piping, and in the relatively short Δ T time, the pressure sequence Pn|n=1 ..., n} available functions P=α .t
β+ ε characterizes, and α, β, ε are fitting parameter, the pressure data of Δ T time period of being obtained is carried out the log-domain conversion, that is:
Log (P)=alog (t)+b, a wherein, b is the system's fitting parameter based on the pressure logarithmic curve.
4. system according to claim 3 is characterized in that: with the time period Δ T of described logarithm pressure diagram, be divided into littler time lag Δ t, be provided with M sampling point, with Q
iBe the representative point of this M sampling point, Q
iProvide with median filter with this M sampling point in the Δ t time lag:
Q
iAfter=M the sampling point ordering, get intermediate value,
Get continuous L the Δ t time lag, obtain L pressure logarithm value { Q by above-mentioned steps
i| i=1 ..., L} joins together this L numerical value, constitutes a pressure logarithm associating vector Π=(Q
1Q
2... Q
L)
TCharacteristic vector as this logarithm pressure diagram.
5. level ground, an airport Aviation Fuel pipeline network leak detecting method of analyzing based on pressure and temp is characterized in that comprising with temperature transducer, pressure transducer, the detection system that leak detector and upper-position unit constitute; Wherein, temperature transducer is used for the temperature of measurement line place environment, being used to the revising influence of ambient temperature to pipeline pressure, and sends this temperature value signal to leak detector by wired or wireless mode; Pressure transducer, be used for detecting in real time ducted pressure changing, pressure signal and temperature signal are converted to electrical signal, send leak detector to by wired or wireless mode, pressure transducer, it is installed on the conveyance conduit, contacts with sound source, be used for the sensing sound wave forms compression and sparse alternate when air is propagated acoustic pressure, obtain the higher pressure signal of precision; Leak detector, operation machine level ground pipeline network leak detection system on it; Upper-position unit, it is the monitor terminal of system;
Wherein, the handling process that runs on the system of leaking hunting comprises following treatment step: (1) is finished the signal conversion that will receive by sensor and front end circuit and is become electrical signal, amplifies processing; (2), finish the AD conversion, and carry out the data necessary robustness and handle by audio data AD conversion and data pretreatment; (3) eliminate interference and background noise; (4) handle signal afterwards,, carry out pressure signal feature extraction and identification, finish the identification of seepage or incident of leakage by pressure data calibration and pressure diagram signature search engine; Wherein, the pipeline pressure data calibration need to be considered the influence to pipeline pressure of ambient temperature, caliber, pipeline wall thickness, thereby is reduced the influence that extraneous objective factor is analyzed pressure data.
6. method according to claim 5 is characterized in that: to the pipeline pressure data of having gathered, carry out temperature correction, base measuring pressure P ' can not write down as array function:
P '=f (temperature, caliber, wall thickness etc.)
P ' and temperature influence maximum, the influence of other factors is smaller, gets:
P′＝a*T
2+b*T+c
As the temperature fair curve, T is an ambient temperature.
7. according to claim 5 or 6 described methods, it is characterized in that: for pressure piping, in the relatively short Δ T time, the pressure sequence Pn|n=1 ..., n} available functions P=α .t
β+ ε characterizes, and α, β, ε are fitting parameter, the pressure data of Δ T time period of being obtained is carried out the log-domain conversion, that is:
Log (P)=alog (t)+b, a wherein, b is the system's fitting parameter based on the pressure logarithmic curve.
8. method according to claim 7 is characterized in that: with the time period Δ T of described logarithm pressure diagram, be divided into littler time lag Δ t, be provided with M sampling point, with Q
iBe the representative point of this M sampling point, Q
iProvide with median filter with this M sampling point in the Δ t time lag:
Q
iAfter=M the sampling point ordering, get intermediate value,
Get continuous L the Δ t time lag, obtain L pressure logarithm value { Q by above-mentioned steps
i| i=1 ..., L} joins together this L numerical value, constitutes a pressure logarithm associating vector Π=(Q
1Q
2... Q
L)
TCharacteristic vector as this logarithm pressure diagram.
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| CN103245454A (en) * | 2013-05-14 | 2013-08-14 | 西南石油大学 | Non-intrusive pipeline real-time monitoring, prewarning and fault locating system |
| CN106015952A (en) * | 2016-07-19 | 2016-10-12 | 重庆峰创科技有限公司 | Oil transportation pipeline leakage detection system based on Internet of Things |
| CN106051472A (en) * | 2016-07-20 | 2016-10-26 | 重庆峰创科技有限公司 | Pipeline leakage supervisory control device based on internet of things and cloud computing |
| CN106644288A (en) * | 2016-12-30 | 2017-05-10 | 燕山大学 | Detecting system for airship gas leakage based on wireless sensor network |
| CN108758357A (en) * | 2018-06-01 | 2018-11-06 | 浙江大学 | A kind of localization of bursted pipe method based on the analysis of water supply network change value of pressure |
| CN109635308A (en) * | 2018-10-15 | 2019-04-16 | 西北工业大学 | Pipeline Sensitivity Analysis Method, device, storage medium and electronic equipment |
| CN111578149A (en) * | 2020-05-25 | 2020-08-25 | 重庆西美仪器仪表有限公司 | Gas pipeline leakage monitoring method, device and system and storage medium |
| CN113240821A (en) * | 2021-04-12 | 2021-08-10 | 西安科技大学 | Dynamic weighing truck non-stop charging system and method based on multi-information fusion |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103245454A (en) * | 2013-05-14 | 2013-08-14 | 西南石油大学 | Non-intrusive pipeline real-time monitoring, prewarning and fault locating system |
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| CN106644288A (en) * | 2016-12-30 | 2017-05-10 | 燕山大学 | Detecting system for airship gas leakage based on wireless sensor network |
| CN108758357A (en) * | 2018-06-01 | 2018-11-06 | 浙江大学 | A kind of localization of bursted pipe method based on the analysis of water supply network change value of pressure |
| CN109635308A (en) * | 2018-10-15 | 2019-04-16 | 西北工业大学 | Pipeline Sensitivity Analysis Method, device, storage medium and electronic equipment |
| CN111578149A (en) * | 2020-05-25 | 2020-08-25 | 重庆西美仪器仪表有限公司 | Gas pipeline leakage monitoring method, device and system and storage medium |
| CN113240821A (en) * | 2021-04-12 | 2021-08-10 | 西安科技大学 | Dynamic weighing truck non-stop charging system and method based on multi-information fusion |
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Application publication date: 20110831 |